基于场景聚类的净负荷优化控制策略

韩仲雅; 张国斌; 翟宇卓; 牛玉广

doi:10.19912/j.0254-0096.tynxb.2022-0362

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (7) : 39-47. DOI: 10.19912/j.0254-0096.tynxb.2022-0362

基于场景聚类的净负荷优化控制策略

韩仲雅¹, 张国斌², 翟宇卓¹, 牛玉广¹

作者信息 +

OPTIMAL CONTROL STRATEGY OF NET LOAD BASED ON SCENARIO CLUSTERING

Han Zhongya¹, Zhang Guobin², Zhai Yuzhuo¹, Niu Yuguang¹

Author information +

文章历史 +

摘要

随着风电等间歇性电源大比例并网,其电源波动性对电网造成的影响不可忽视,同时需求侧用电负荷的波动同样影响着电网运行。针对上述问题,现大多采用单一的控制策略,其控制效果虽然可达到要求,但未分析不同情况下不同的风电和负荷特性,采用统一的控制策略易造成资源不必要的浪费。该文提出一种基于场景聚类的优化控制。场景聚类考虑了风电场出力波动和需求侧用电负荷波动两个因素,提取净负荷数据典型场景,依据其不同特性提出不同控制方案,达到优化目的。最后通过算例分析,证实这种优化控制方案可在不降低原本控制效果的基础上减小成本,提高用户舒适度,具有可行性和有效性。

Abstract

With the large proportion of intermittent power sources such as wind power connected to the grid, the impact of power supply fluctuation on the power grid cannot be ignored. At the same time, the fluctuation of power load on the demand side also affects the operation of the power grid. For the above problems, most of them adopt a single control strategy. Although the control effect can meet the requirements, different wind power and load characteristics are not analyzed under different conditions. It is easy to cause unnecessary waste of resources by using a unified control strategy. This paper presents an optimal control based on scene clustering. Scene clustering considers two factors, output fluctuation of wind farm and power load fluctuation on demand side. Extract typical scenarios of net load data. Based on their different characteristics, and different control schemes are proposed to achieve the optimization purpose. Finally, an example is analyzed to verify the feasibility and effectiveness of this optimal control scheme, which can reduce costs and improve user comfort without reducing the original control effect.

导出引用

韩仲雅, 张国斌, 翟宇卓, 牛玉广. 基于场景聚类的净负荷优化控制策略[J]. 太阳能学报. 2023, 44(7): 39-47 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0362

Han Zhongya, Zhang Guobin, Zhai Yuzhuo, Niu Yuguang. OPTIMAL CONTROL STRATEGY OF NET LOAD BASED ON SCENARIO CLUSTERING[J]. Acta Energiae Solaris Sinica. 2023, 44(7): 39-47 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0362

中图分类号： TM734

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